June 2, 2014
“If you burn one molecule of fossil fuel and put that carbon dioxide into the atmosphere, it will remain there for around 100 years on average,” explained N Read more…
February 16, 2014
Weather forecasting has come a long way since June of 1977, when the European Centre for Medium Range Weather Forecasts (ECMWF) first contracted Cray to deliver Read more…
November 14, 2013
The devastation incurred by the landfall of Hurricane Sandy on the northeast coast of the United States just over one year ago exemplifies the need for further advances in accuracy and reliability in numerical weather prediction. High resolution numerical weather simulations carried out on hundreds of thousands of processors on the largest supercomputers, Blue Waters in this case, are providing these very insights. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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